A.I. Expert Bin He and his team at Carnegie Mellon University have made a breakthrough in noninvasive brain-computer interfaces (BCIs) by integrating focused ultrasound…
Browsing: Brain-Computer Interfaces
A.I. expert Bin He and his team at Carnegie Mellon University are working on improving noninvasive brain-computer interfaces (BCIs) through the use of innovative…
Researchers at the Indian Institute of Science have developed an indigenous low-power AI co-processor called RAMAN for edge computing applications. RAMAN offers several advantages…
This article discusses a new online spike encoding algorithm for spiking neural networks and its potential for identifying diagnostic biomarkers using deep learning neural…
The global market for neuromorphic computing is expected to grow significantly in the coming years, driven by advancements in brain-computer interfaces and the use…
Maryam Shanechi, Dean’s Professor of Electrical and Computer Engineering and Founding Director of the USC Center for Neurotechnology, and her PhD students have developed…
Brain-computer interfaces (BCI) are used to allow humans to communicate with electronic systems through a connection, typically obtained through electroencephalography (EEG). BCI have essential…
In today’s digital era, organizations are facing new challenges and opportunities brought forth by rapid technological advancements and the shift to a hybrid human-computer…